AI Evaluations Research Associate
RAND
Opportunity type
Part-time role
Cause areas
AI Safety & Policy
Routes to impact
📈 Skill-Building & Building Career Capital
🤲 Direct High Impact on an Important Cause
Relevant aptitudes
Conceptual & Empirical Research
Software Engineering
Deadline
2025-07-13
Location
USA (San Francisco CA or Washington DC preferred)
Description
RAND’s Technology and Security Policy Center (TASP) is seeking mission-driven AI Evaluations Research Associates to develop and execute research projects and engineering efforts within our AI Capability Evaluations (ACE) team.
This position is initially structured as a focused 1-year appointment to create the urgency needed to drive ambitious change in this rapidly evolving field. Every day of your tenure will count toward that goal. The appointment may be renewed for up to a total of 3 years, with options for longer-term employment at RAND thereafter. Full-time and part-time (at least 20 hours per week) schedules will be considered, but with a strong preference for full-time.
Responsibilities may include but are not limited to:
- Contribute to developing concrete threat models for high-consequence risks AI risks, working with internal and external partners
- Contribute to designing and executing rigorous, objective evaluations of AI capabilities relevant to key bottlenecks within those threat models
- Contribute to developing and maintaining the technical infrastructure required to support this research, working with relevant internal and external IT stakeholders
- Develop and maintain code for fundamental evaluation components that can be used across research efforts (e.g. prompting, automated grading, statistical analysis)
- Keep up to date with the latest advances in AI evaluation engineering and the science of evaluations to continually improve the rigor and efficiency of our evaluations
- Contribute to communicating research results to policymakers and other key stakeholders at all levels through written products and oral presentations
- Contribute to setting strategic and research priorities, with an emphasis on the policy impact of evaluations
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